iPad Pro 11-inch (M4)
Geekbench AI Score
8768
Single Precision Score
10528
Half Precision Score
9490
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 28 2025 02:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4366
811.9 IPS |
|
|
Image Classification (HP)
|
100% |
4813
895.1 IPS |
|
|
Image Classification (Q)
|
97% |
4122
769.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4870
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6702
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7099
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27654
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29789
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28368
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
4669
370.3 IPS |
|
|
Object Detection (HP)
|
100% |
5172
410.2 IPS |
|
|
Object Detection (Q)
|
91% |
4403
351.8 IPS |
|
|
Face Detection (SP)
|
100% |
12814
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16324
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
11916
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20190
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22293
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19295
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55908
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66362
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62411
80.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11435
422.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12549
463.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10203
376.8 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5321
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2082
36.0 IPS |
